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Yingda Lyu
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2020 – today
- 2025
- [j16]Haipeng Chen, Honghong Ju, Jun Qin, Jincai Song, Yingda Lyu, Xianzhu Liu:
Dataset-level color augmentation and multi-scale exploration methods for polyp segmentation. Expert Syst. Appl. 260: 125395 (2025) - 2024
- [j15]Yingda Lyu, Zhehao Liu, Yingxin Zhang, Haipeng Chen, Zhimin Xu:
CRML-Net: Cross-Modal Reasoning and Multi-Task Learning Network for tooth image segmentation. Comput. Vis. Image Underst. 248: 104138 (2024) - [j14]Heyu Zhou, Jiayu Li, Xianzhu Liu, Yingda Lyu, Haipeng Chen, An-An Liu:
View sequence prediction GAN: unsupervised representation learning for 3D shapes by decomposing view content and viewpoint variance. Multim. Syst. 30(4): 231 (2024) - [j13]Liya Wang, Haipeng Chen, Yu Liu, Yingda Lyu, Feng Qiu:
Reinforced visual interaction fusion radiology report generation. Multim. Syst. 30(5): 299 (2024) - [j12]Yitong Liu, Xuanjing Shen, Yingda Lyu, Xue Wang:
MCA-Net: multi-cascade attention network for polyp segmentation. Multim. Tools Appl. 83(11): 33713-33730 (2024) - [c4]Haipeng Chen, Kedi Lyu, Zhenguang Liu, Yifang Yin, Xun Yang, Yingda Lyu:
Rethinking Human Motion Prediction with Symplectic Integral. CVPR 2024: 2134-2143 - 2023
- [j11]Na Ta, Haipeng Chen, Yingda Lyu, Xue Wang, Zenan Shi, Zhehao Liu:
A complementary and contrastive network for stimulus segmentation and generalization. Image Vis. Comput. 135: 104694 (2023) - [j10]Na Ta, Haipeng Chen, Yingda Lyu, Taosuo Wu:
BLE-Net: boundary learning and enhancement network for polyp segmentation. Multim. Syst. 29(5): 3041-3054 (2023) - [j9]Zenan Shi, Xuanjing Shen, Haipeng Chen, Yingda Lyu:
PL-GNet: Pixel Level Global Network for detection and localization of image forgeries. Signal Process. Image Commun. 119: 117029 (2023) - [j8]Dengyun Xu, Xuanjing Shen, Yingda Lyu:
UP-Net: Uncertainty-Supervised Parallel Network for Image Manipulation Localization. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6390-6403 (2023) - [c3]Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren:
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization. IJCAI 2023: 1658-1666 - [i1]Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren:
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization. CoRR abs/2306.07576 (2023) - 2022
- [j7]Haipeng Chen, Yunjie Liu, Zenan Shi, Yingda Lyu:
Pancreas segmentation by two-view feature learning and multi-scale supervision. Biomed. Signal Process. Control. 74: 103519 (2022) - [j6]Dengyun Xu, Xuanjing Shen, Yingda Lyu, Xiaoyu Du, Fuli Feng:
MC-Net: Learning mutually-complementary features for image manipulation localization. Int. J. Intell. Syst. 37(5): 3072-3089 (2022) - [j5]Haipeng Chen, Chaoqun Chang, Zenan Shi, Yingda Lyu:
Hybrid features and semantic reinforcement network for image forgery detection. Multim. Syst. 28(2): 363-374 (2022) - 2021
- [j4]Fang Mei, Tianchang Gao, Yingda Lyu:
CF Model: A Coarse-to-Fine Model Based on Two-Level Local Search for Image Copy-Move Forgery Detection. Secur. Commun. Networks 2021: 6688393:1-6688393:13 (2021) - 2020
- [j3]Haipeng Chen, Xiwen Yang, Yingda Lyu:
Copy-Move Forgery Detection Based on Keypoint Clustering and Similar Neighborhood Search Algorithm. IEEE Access 8: 36863-36875 (2020) - [j2]Zenan Shi, Xuanjing Shen, Haipeng Chen, Yingda Lyu:
Global Semantic Consistency Network for Image Manipulation Detection. IEEE Signal Process. Lett. 27: 1755-1759 (2020)
2010 – 2019
- 2019
- [c2]Fang Mei, Jing Lyu, Yingda Lyu:
Copy-Move Forgery Detection Based on Interest Point and Local Search Algorithm. CCIS 2019: 207-211 - [c1]Siming Cui, Xuanjing Shen, Yingda Lyu:
Automatic Segmentation of Brain Tumor Image Based on Region Growing with Co-constraint. MMM (1) 2019: 603-615 - 2018
- [j1]Hongda Sheng, Xuanjing Shen, Yingda Lyu, Zenan Shi, Shuyang Ma:
Image splicing detection based on Markov features in discrete octonion cosine transform domain. IET Image Process. 12(10): 1815-1823 (2018)
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last updated on 2024-12-03 20:25 CET by the dblp team
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